USAP-DC

{"dp_type": "Project", "free_text": "ATMOSPHERIC WINDS"}

[{"awards": "2326960 Doddi, Abhiram", "bounds_geometry": "POLYGON((36 -68,36.9 -68,37.8 -68,38.7 -68,39.6 -68,40.5 -68,41.4 -68,42.3 -68,43.2 -68,44.1 -68,45 -68,45 -68.2,45 -68.4,45 -68.6,45 -68.8,45 -69,45 -69.2,45 -69.4,45 -69.6,45 -69.8,45 -70,44.1 -70,43.2 -70,42.3 -70,41.4 -70,40.5 -70,39.6 -70,38.7 -70,37.8 -70,36.9 -70,36 -70,36 -69.8,36 -69.6,36 -69.4,36 -69.2,36 -69,36 -68.8,36 -68.6,36 -68.4,36 -68.2,36 -68))", "dataset_titles": null, "datasets": null, "date_created": "Sat, 20 May 2023 00:00:00 GMT", "description": "This is an international collaboration between the University of Colorado, the University of Kyoto, and the National Institute of Polar Research (NIPR) in Tokyo, to carry out a 40-day observational field campaign as part of the Japanese Antarctic Research Expedition (JARE) to Syowa station (690S, 400E) located on the eastern Antarctic coast. This campaign will deploy 44 custom high-altitude in-situ instruments called HYFLITS (\u0027Hypersonic Flight in the Turbulent Stratosphere\u0027) to characterize turbulence in the troposphere and lower stratosphere, as well as conduct intercomparisons with the VHF PANSY radar (\u2018Program of the ANtarctic SYowa\u2019) observations and concurrently deployed LODEWAVE (LOng-Duration balloon Experiment of gravity WAVE over Antarctica) observations.\r\nThis research is motivated by the fact that the sources representing realistic multi-scale gravity wave (GW) drag, and Kelvin Helmholtz Instability (KHI) dynamics in enhanced shear flows, and their contributions to momentum/energy budgets due to turbulent transport/mixing, are largely missing in the current state-of-the-art General Circulation Model (GCM) parameterization schemes. This results in poor and unreliable model forecasts of flow features from local to synoptic scales at southern high latitudes. \r\nThe proposed research aims to utilize high-resolution in-situ turbulence instruments to characterize the multi-scale GW sources and breaking, KHI instabilities emerging in a wide range of scales, Reynolds and Richardson numbers, and background GW environments in the coastal Antarctic region and quantify their contributions to the momentum and turbulence energy budgets in the tropo-stratosphere. Specific research objectives include the following:\r\n1.\tCharacterize the large-scale dynamics of orographic GWs produced by katabatic forcing and non-orographic GWs produced by summer tropopause jets and low-pressure synoptic-scale events employing targeted HYFLITS and LODEWAVE measurements in conjunction with PANSY radar observations.\r\n2.\tQuantify the GW momentum fluxes using HYFLITS and LODEWAVE measurements, and the turbulence dissipation rates using HYFLITS and PANSY radar measurements for representative multi-scale GW and KHI events to assess the zonal and meridional energy and constituent transport, and the variability in turbulence intensities/mixing throughout the troposphere and lower stratosphere.\r\nThe project will deploy the low-cost HYFLITS systems equipped with custom in-situ turbulence and radiosonde instruments at Syowa station. These balloon payloads descend slowly from an apogee of 20 km to provide high-resolution, wake-free turbulence observations, with guidance from real-time PANSY radar echoes and in coordination with the LODEWAVE experiment, to profile the atmospheric states for representative dynamical events.", "east": 45.0, "geometry": "POINT(40.5 -69)", "instruments": null, "is_usap_dc": true, "keywords": "TURBULENCE; ATMOSPHERIC WINDS; VERTICAL PROFILES; ATMOSPHERIC PRESSURE; HUMIDITY; Syowa Station", "locations": "Syowa Station", "north": -68.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Doddi, Abhiram; Lawrence, Dale", "platforms": null, "repositories": null, "science_programs": null, "south": -70.0, "title": "RAPID: In-situ Observations to Characterize Multi-Scale Turbulent Atmospheric Processes Impacting Climate at Southern High Latitudes", "uid": "p0010420", "west": 36.0}, {"awards": "1625904 TBD", "bounds_geometry": "POLYGON((166 -77.5,166.4 -77.5,166.8 -77.5,167.2 -77.5,167.6 -77.5,168 -77.5,168.4 -77.5,168.8 -77.5,169.2 -77.5,169.6 -77.5,170 -77.5,170 -77.75,170 -78,170 -78.25,170 -78.5,170 -78.75,170 -79,170 -79.25,170 -79.5,170 -79.75,170 -80,169.6 -80,169.2 -80,168.8 -80,168.4 -80,168 -80,167.6 -80,167.2 -80,166.8 -80,166.4 -80,166 -80,166 -79.75,166 -79.5,166 -79.25,166 -79,166 -78.75,166 -78.5,166 -78.25,166 -78,166 -77.75,166 -77.5))", "dataset_titles": "Sarah PCWS unmodified ten-minute observational data, 2020 - present (ongoing).; Skomik PCWS unmodified ten-minute observational data, 2022 - present (ongoing).", "datasets": [{"dataset_uid": "200340", "doi": "https://doi.org/10.48567/h6qx-0613", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Skomik PCWS unmodified ten-minute observational data, 2022 - present (ongoing).", "url": "https://amrdcdata.ssec.wisc.edu/dataset/skomik-pcws-unmodified-ten-minute-observational-data-2022-present-ongoing"}, {"dataset_uid": "200341", "doi": "https://doi.org/10.48567/q4eh-nm67", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Sarah PCWS unmodified ten-minute observational data, 2020 - present (ongoing).", "url": "https://amrdcdata.ssec.wisc.edu/dataset/sarah-pcws-unmodified-ten-minute-observational-data-2022-present-ongoing"}], "date_created": "Mon, 12 Dec 2022 00:00:00 GMT", "description": "The major goals of this Major Research Instrumentation (MRI) grant exclusively focus on the specification, design, construction, and laboratory testing of a modern polar climate and weather automated observing system (PCWS). \r\n* Up to 4 systems will be developed during the specification, design and testing phase of the project. \r\n* Approximately 10 additional systems will be constructed after the completion of the initial design and development phase of the project.\r\n* This project will involve students at every level and in nearly every aspect.\r\n* This effort includes all of the necessary equipment to enable the development, design, fabrication, construction, and laboratory testing of modern polar climate and weather automated observing systems. The systems will be complete base units including sensors, communications, power systems and tower/guying systems. This is in addition to the newly designed electronic core, which is the focal point of the project.\r\n\r\nThere is a sub-award to the University of Wisconsin-Madison which allows for critical collaboration and consultation, especially throughout the specification, design and testing phases of the project (including some co-located deployment of equipment via the Antarctic Automatic Weather Station project).", "east": 170.0, "geometry": "POINT(168 -78.75)", "instruments": null, "is_usap_dc": true, "keywords": "ATMOSPHERIC WINDS; Madison Area Technical College; SNOW/ICE; SURFACE PRESSURE; ATMOSPHERIC RADIATION; HUMIDITY; AIR TEMPERATURE; METEOROLOGICAL STATIONS; WEATHER STATIONS", "locations": "Madison Area Technical College", "north": -77.5, "nsf_funding_programs": null, "paleo_time": null, "persons": "Lazzara, Matthew; Cassano, John; L\u0027\u0027Ecuyer, Tristan; Kulie, Mark", "platforms": "LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e METEOROLOGICAL STATIONS; LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e WEATHER STATIONS", "repo": "AMRDC", "repositories": "AMRDC", "science_programs": null, "south": -80.0, "title": "MRI: Development of a Modern Polar Climate and Weather Automated Observing System", "uid": "p0010396", "west": 166.0}, {"awards": "1924730 Lazzara, Matthew", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": "AMRC Automatic Weather Station project data", "datasets": [{"dataset_uid": "200316", "doi": "10.48567/1hn2-nw60", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "AMRC Automatic Weather Station project data", "url": "https://doi.org/10.48567/1hn2-nw60"}], "date_created": "Tue, 23 Aug 2022 00:00:00 GMT", "description": "The Antarctic Automatic Weather Station network is the most extensive surficial meteorological network in the Antarctic, approaching its 30th year at several of its data stations. Its prime focus is also as a long term observational record, to measure the near surface weather and climatology of the Antarctic atmosphere. Antarctic Automatic Weather Stations measure air-temperature, pressure, wind speed and direction at a nominal surface height of ~ 2-3m. Other parameters such as relative humidity and snow accumulation may also be taken. The surface observations from the Antarctic Automatic Weather Station network are also used operationally, for forecast purposes, and in the planning of field work. Surface observations made from the network have also been used to check the validity of satellite and remote sensing observations. The proposed effort informs our understanding of the Antarctic environment and its weather and climate trends over the past few decades. The research has implications for potential future operations and logistics for the US Antarctic Program during the winter season. As a part of this endeavor, all project participants will engage in a coordinated outreach effort to bring the famous Antarctic \"cold\" to public seminars, K-12, undergraduate, and graduate classrooms, and senior citizen centers.\u003cbr/\u003e\u003cbr/\u003eThis project proposes to use the surface conditions observed by the Antarctic Automatic Weather Station (AWS) network to determine how large-scale modes of climate variability impact Antarctic weather and climate, how the surface observations from the AWS network are linked to surface layer and boundary layer processes. Consideration will also be given to low temperature physical environments such as may be encountered during Antarctic winter, and the best ways to characterize these, and other ?cold pool? phenomena. Observational data from the AWS are collected via Iridium network, or DCS Argos aboard either NOAA or MetOp polar orbiting satellites and thus made available in near real time to operational and synoptic weather forecasters over the GTS (WMO Global Telecommunication System). Being able to support improvements in numerical weather prediction and climate modeling will have lasting impacts on Antarctic science and logistical support.\u003cbr/\u003e\u003cbr/\u003eThis award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "SURFACE TEMPERATURE; ATMOSPHERIC PRESSURE; ATMOSPHERIC TEMPERATURE; Antarctica; SURFACE WINDS; HUMIDITY; AIR TEMPERATURE; ATMOSPHERIC WINDS; ATMOSPHERIC PRESSURE MEASUREMENTS", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Lazzara, Matthew; Welhouse, Lee J", "platforms": null, "repo": "AMRDC", "repositories": "AMRDC", "science_programs": null, "south": -90.0, "title": "Collaborative Research: Antarctic Automatic Weather Station Program 2019-2022", "uid": "p0010370", "west": -180.0}, {"awards": "1643436 Donohoe, Aaron", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": "Partionining of CERES planetary albedo between atmospheric and surface reflection", "datasets": [{"dataset_uid": "601579", "doi": "10.15784/601579", "keywords": "Antarctica; Southern Ocean", "people": "Donohoe, Aaron", "repository": "USAP-DC", "science_program": null, "title": "Partionining of CERES planetary albedo between atmospheric and surface reflection", "url": "https://www.usap-dc.org/view/dataset/601579"}], "date_created": "Fri, 10 Jun 2022 00:00:00 GMT", "description": "The key scientific question of this project is: what mechanism is the dominant driver of Southern Ocean (SO) sea ice variability and long-term trends in nature? Our primary goal is to understand the processes that drive SO sea ice loss over the observational record and identify which models get the physics right. Although our primary focus is on mechanisms of long-term sea ice loss, the observational record includes rich information at shorter timescales which are better sampled and may elucidate the relevant physics. Thus, our analysis of mechanisms of sea ice variability spans time scales ranging from days (synoptic) to inter-annual variability to long-term trends to identify model biases in the physics that drive SO sea ice loss events.\r\n\r\nWe divided our work into explorations of 5 major topics \r\n1. Identifying model biases in high frequency sea ice variability in the Southern Ocean\r\n2. Identifying model biases in radiative impact of sea ice loss events\r\n3. Disentangling the roles of winds and sea surface temperature on the observational record of Southern Ocean sea ice\r\n4. Quantifying the degree to which Southern Ocean sea ice loss is remotely forced by the influence of the tropics and mid-latitudes and, conversely, how much much influence does the Southern Ocean have on the tropics \r\n5. Analyzing the impact of atmospheric heat transport on sea ice loss \r\n", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "USAP-DC; AMD; Amd/Us; SEA ICE; United States Of America; COMPUTERS; ATMOSPHERIC WINDS; ATMOSPHERIC RADIATION; NSF/USA", "locations": "United States Of America", "north": -60.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Donohoe, Aaron; Schweiger, Axel", "platforms": "OTHER \u003e MODELS \u003e COMPUTERS", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "What Processes Drive Southern Ocean Sea Ice Variability and Trends? Insights from the Energy Budget of the Coupled Cryosphere-ocean-atmosphere System", "uid": "p0010336", "west": -180.0}, {"awards": "1543305 Lazzara, Matthew", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": "Antarctic Automatic Weather Station", "datasets": [{"dataset_uid": "200291", "doi": "https://doi.org/10.48567/1hn2-nw60", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Antarctic Automatic Weather Station", "url": "https://amrdcdata.ssec.wisc.edu/group/about/automatic-weather-station-project"}], "date_created": "Mon, 16 May 2022 00:00:00 GMT", "description": "The Antarctic Automatic Weather Station (AWS) network is the most extensive ground meteorological network in the Antarctic, approaching its 30th year at several of its installations. Its prime focus as a long term observational record is to measure the near surface weather and climatology of the Antarctic atmosphere. AWS stations measure air-temperature, pressure, wind speed and direction at a nominal surface height of ~ 2-3m. Other parameters such as relative humidity, incoming sunshine, and snow accumulation may also be taken at selected sites. Observational data from the AWS are collected via Iridium network, or DCS Argos aboard either NOAA or MetOp polar orbiting satellites and thus made available in near real time to operational and synoptic weather forecasters. The surface observations from the Antarctic AWS network are important records for recent climate change and meteorological processes. The surface observations from the Antarctic AWS network are also used operationally, and in the planning of field work. The surface observations made from the network have been used to check on satellite and remote sensing observations.This project uses the surface conditions observed by the AWS network to determine how large-scale modes of climate variability impact Antarctic weather and climate, how the surface observations from the AWS network are linked to surface layer and boundary layer processes, and to quantify the impact of snowfall. Specifically, this project improves our understanding of the processes that lead to unusual weather events and how these events are related to large-scale modes of climate variability. ", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "HUMIDITY; SURFACE PRESSURE; ATMOSPHERIC TEMPERATURE; AMD; ATMOSPHERIC PRESSURE; USA/NSF; AIR TEMPERATURE; Antarctica; USAP-DC; Amd/Us; SURFACE WINDS; SURFACE AIR TEMPERATURE; ATMOSPHERIC PRESSURE MEASUREMENTS; WEATHER STATIONS; ATMOSPHERIC WINDS", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Lazzara, Matthew", "platforms": "LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e WEATHER STATIONS", "repo": "AMRDC", "repositories": "AMRDC", "science_programs": null, "south": -90.0, "title": "Collaborative Research: Antarctic Automatic Weather Station Program 2016-2019", "uid": "p0010319", "west": -180.0}, {"awards": "2001430 Cassano, John", "bounds_geometry": "POLYGON((166 -77,166.4 -77,166.8 -77,167.2 -77,167.6 -77,168 -77,168.4 -77,168.8 -77,169.2 -77,169.6 -77,170 -77,170 -77.1,170 -77.2,170 -77.3,170 -77.4,170 -77.5,170 -77.6,170 -77.7,170 -77.8,170 -77.9,170 -78,169.6 -78,169.2 -78,168.8 -78,168.4 -78,168 -78,167.6 -78,167.2 -78,166.8 -78,166.4 -78,166 -78,166 -77.9,166 -77.8,166 -77.7,166 -77.6,166 -77.5,166 -77.4,166 -77.3,166 -77.2,166 -77.1,166 -77))", "dataset_titles": "Radar Data for Phoenix Airfield (NZFX), 2019", "datasets": [{"dataset_uid": "200358", "doi": "10.48567/wrfx-7c88", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Radar Data for Phoenix Airfield (NZFX), 2019", "url": "https://amrdcdata.ssec.wisc.edu/dataset/radar-data-for-phoenix-airfield-nzfx-2019"}], "date_created": "Tue, 06 Jul 2021 00:00:00 GMT", "description": "The Ross Island region of Antarctica is a topographically complex region that results in large variations in the mesoscale high wind and precipitation features across the region. The goals of this project are to increase the understanding of the three-dimensional structure of these mesoscale meteorology features. This project will leverage observations from the scanning X-band radar installed during the AWARE field campaign in 2016 and the installation of an EWR Radar Systems X-band scanning radar (E700XD) to be deployed during the 2019-20 field season.\r\nIntellectual Merit:\r\nThe focus of the science will be on questions investigating the structure and forcing of mesoscale wind and precipitation features in the vicinity of McMurdo Station. In addition to the data from the X-band scanning radars, observations from surface-based automatic weather stations, radiosonde launches from McMurdo Station, the suite of AWARE observations, and archived forecasts from the Antarctic Mesoscale Prediction System will be used to provide verification and additional insights into the structure of these mesoscale features. The science questions to be addressed in this study are:\r\n- What are the signatures of the mesoscale high wind features that are detectable by a scanning X-band, Doppler radar that can be used to aid in operational forecasting and to increase lead time of high wind event warnings for improved safety and logistics in the Ross Island region?\r\n- How does the orientation of the mesoscale high wind events play a role in the determining the severity of the impacts of the high winds at logistically significant locations across the Ross Island region?\r\n- What is the distribution of precipitation across the Ross Island region? Are there local topographic features that result in banding of precipitation across the region?\r\n- What is the accuracy of AMPS in forecasting mesoscale precipitation and wind features across the Ross Island region during the main body season?\r\nBroader Impacts:\r\nThe benefits of this project will extend beyond that of addressing the science questions and into improvements and increased data resources for the logistics, operational forecasting and research communities.\r\n- Provide increased understanding and in-depth analysis of the mesoscale wind and precipitation features detectable using radar observations to be transferred to the NIWC forecasters resulting in increased awareness and training.\r\n- With the comparison of the capabilities of the AWARE radar to that of the EWR Radar Systems E700XD the USAP can make an informed decision for the future purchase of a similar or different radar system for long-term deployment and use in forecasting for the region.\r\n- Develop a robust and coordinated data archive of the EWR Radar Systems E700XD during the 2019-20 deployment to be shared and used by future research investigations.\r\n- Provide insight, tools, and an outline for additional studies based on the remote sensing dataset collected during the AWARE project.", "east": 170.0, "geometry": "POINT(168 -77.5)", "instruments": null, "is_usap_dc": true, "keywords": "SNOW; AMD; FIELD SURVEYS; Amd/Us; McMurdo; USAP-DC; USA/NSF; ATMOSPHERIC WINDS", "locations": "McMurdo", "north": -77.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Cassano, John; Seefeldt, Mark; Kingsmill, David", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS", "repo": "AMRDC", "repositories": "AMRDC", "science_programs": null, "south": -78.0, "title": "RAPID: An Improved Understanding of Mesoscale Wind and Precipitation Variability in the Ross Island Region Based on Radar Observations", "uid": "p0010226", "west": 166.0}]

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